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Field
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sensors in composites. Strong mathematical background and experience with numerical methods for structural analysis. Proficiency in programming (e.g., MATLAB, Python). You have obtained your PhD degree in
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and reports Organization of documentation Mathematical modeling of visual defects in aeronautical structures Design of embedded sensors in structures Study of thermo-mechanical phenomena Preparation and
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closely with a small, dedicated team, you will: Design and implement SLAM-based navigation algorithms for GPS-denied forest environments (45%) Develop multi-sensor integration software for LiDAR, cameras
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biologging multi-sensor acoustic tags on bats and toothed whales in the wild and combine these data with array recordings, noise playbacks and phantom target generators on trained animals in the lab
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, electronic circuit design characterization techniques (Raman microscopy, AFM, SEM, etc.) neuroscience biological/in-vivo sensors Experience in collaboration with biologists or medical researchers is an
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to the PPS14 (in Portuguese). Provide support and organization for the development of a smart welding pilot prototype for the project using the data acquired by the sensors during the welding process. Elaborate
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sensor research and development for energy applications, with a focus on advanced manufacturing technologies. The MSA group consists of staff members with backgrounds in mechanical engineering, materials
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outperforms previous magnetoresistive devices by orders of magnitude, and ii) assess its potential for applications, including magnetoresistive sensors. Responsibilities and qualifications The primary tasks
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-extrusion 3D printing and 3D bioprinting. Topics include: 3D printable soft electronics for bio-hybrid tissues with embedded sensors Functional Bio-matrices for embedded bioprinting of perfusable tissue
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signals or kinematic signals from wearable sensors in a demand-based fashion. Additional projects include the development of a remote monitoring tool for Parkinson’s disease and other disorders which